Dylan Sam

According to our database, Dylan Sam authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Auditing Fairness under Unobserved Confounding.

Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder

CoRR, 2024

Bayesian Neural Networks with Domain Knowledge Priors.

Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter

CoRR, 2024

2023

Understanding prompt engineering may not require rethinking generalization.

Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter

CoRR, 2023

Learning with Explanation Constraints.

Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Propagation with Weak Supervision.

Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Losses over Labels: Weakly Supervised Learning via Direct Loss Construction.

Dylan Sam, J. Zico Kolter

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving self-supervised representation learning via sequential adversarial masking.

Dylan Sam, Min Bai, Tristan McKinney, Li Erran Li

CoRR, 2022

2021

Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees.

Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, Eli Upfal

Proceedings of the 38th International Conference on Machine Learning, 2021

Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees.

Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen H. Bach

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021